code: def __init__(self, g, in_dim, out_dim):
      super(GATLayer, self).__init__()
      self.g = g
      # equation (1)
      self.fc = nn.Linear(in_dim, out_dim, bias=False)
      # equation (2)
      self.attn_fc = nn.Linear(2 * out_dim, 1, bias=False)
      self.reset_parameters()
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GATConv
  import networkx
  from dgl import DGLGraph
  from dgl.data import citation_graph
  import time
  import numpy
label_desc: Use image node_id 1 to create a new GATLayer object from inherited base classes: nn with example: obj = GATLayer(g, in_dim, out_dim)